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  1. 1
    Statistical Methods in Molecular Biology

    Statistical Methods in Molecular Biology

    Published 2010
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    Electronic eBook
  2. 2
    Excel Data Analysis Modeling and Simulation /

    Excel Data Analysis Modeling and Simulation / by Guerrero, Hector

    Published 2019
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    Electronic eBook
  3. 3
    Uncertainty Modeling for Engineering Applications

    Uncertainty Modeling for Engineering Applications

    Published 2019
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    Electronic eBook
  4. 4
    Decision Making under Deep Uncertainty From Theory to Practice /

    Decision Making under Deep Uncertainty From Theory to Practice /

    Published 2019
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    Electronic eBook
  5. 5
    Stochastic Programming Modeling Decision Problems Under Uncertainty /

    Stochastic Programming Modeling Decision Problems Under Uncertainty / by Klein Haneveld, Willem K., van der Vlerk, Maarten H., Romeijnders, Ward

    Published 2020
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  6. 6
    Demography of Population Health, Aging and Health Expenditures

    Demography of Population Health, Aging and Health Expenditures

    Published 2020
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  7. 7
    Flexible and Generalized Uncertainty Optimization Theory and Approaches /

    Flexible and Generalized Uncertainty Optimization Theory and Approaches / by Lodwick, Weldon A., Salles-Neto, Luiz L.

    Published 2021
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  8. 8
    Control and System Theory of Discrete-Time Stochastic Systems

    Control and System Theory of Discrete-Time Stochastic Systems by van Schuppen, Jan H.

    Published 2021
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  9. 9
    Uncertainty Quantification and Stochastic Modelling with EXCEL

    Uncertainty Quantification and Stochastic Modelling with EXCEL by Souza de Cursi, Eduardo

    Published 2022
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  10. 10
    Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis Recent Advances /

    Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis Recent Advances /

    Published 2022
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  11. 11
    Uncertainty Quantification using R

    Uncertainty Quantification using R by Souza de Cursi, Eduardo

    Published 2023
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  12. 12
    Core Concepts and Methods in Load Forecasting With Applications in Distribution Networks /

    Core Concepts and Methods in Load Forecasting With Applications in Distribution Networks / by Haben, Stephen, Voss, Marcus, Holderbaum, William

    Published 2023
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  13. 13
    Uncertainty Quantification with R Bayesian Methods /

    Uncertainty Quantification with R Bayesian Methods / by Souza de Cursi, Eduardo

    Published 2024
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    Electronic eBook
  14. 14
    The Economic Analysis of Random Events Economic Perspectives on Probability Theory, Statistical Inference and the Nature of Chance /

    The Economic Analysis of Random Events Economic Perspectives on Probability Theory, Statistical Inference and the Nature of Chance / by Hacıoğlu, Volkan

    Published 2024
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  15. 15
    Bayesian Machine Learning in Quantitative Finance Theory and Practical Applications /

    Bayesian Machine Learning in Quantitative Finance Theory and Practical Applications / by Mongwe, Wilson Tsakane, Mbuvha, Rendani, Marwala, Tshilidzi

    Published 2025
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  16. 16
    Probabilistic Safety Assessment of WWER440 Reactors Prediction, Quantification and Management of the Risk /

    Probabilistic Safety Assessment of WWER440 Reactors Prediction, Quantification and Management of the Risk / by Kovacs, Zoltan

    Published 2014
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  17. 17
    Handbook of Uncertainty Quantification

    Handbook of Uncertainty Quantification

    Published 2016
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    Electronic eBook
  18. 18
    The Challenge of Chance A Multidisciplinary Approach from Science and the Humanities /

    The Challenge of Chance A Multidisciplinary Approach from Science and the Humanities /

    Published 2016
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    Electronic eBook
  19. 19
    Computational Probability Applications

    Computational Probability Applications

    Published 2017
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  20. 20
    Computational Probability Algorithms and Applications in the Mathematical Sciences /

    Computational Probability Algorithms and Applications in the Mathematical Sciences / by Drew, John H., Evans, Diane L., Glen, Andrew G., Leemis, Lawrence M.

    Published 2017
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